Principal Data Engineer
Posted on 8/9/2023

501-1,000 employees

Corporate food solutions platform for ordering, delivery, and management.
Company Overview
ezCater stands as a trusted provider of corporate food solutions, serving 93% of Fortune 500 companies with a platform that streamlines food ordering, payments, budgeting, and reporting. The company also supports restaurants in expanding their catering business, offering customer acquisition to reliable delivery services. With a vast network of over 100,000 restaurants nationwide, 24/7 customer service, and a rewards system, ezCater ensures a diverse range of food options, professional preparation and delivery, and customer satisfaction.

Company Stage

Series D

Total Funding





Boston, Massachusetts

Growth & Insights

6 month growth


1 year growth


2 year growth

Cambridge, MA, USA
Experience Level
Desired Skills
Data Science
Data Analysis
Data & Analytics
  • 10+ years of experience in data architecture, data modeling and data management, with specific expertise on scaling data systems
  • Experience across modern cloud based data ecosystems. AWS and Snowflake experience preferred
  • Strong knowledge of data architecture best practices, data modeling tools, and ELT/ETL processes
  • Solid understanding of architectural design patterns and strategies with cloud-based data architecture, data lakes, data lakehouse, data mesh and data warehousing
  • Track record of technical leadership via collaboration, mentorship, and leveling up teams
  • Ability to create analysis and quick prototypes for different implementation alternatives on data ecosystems
  • Our stack is Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations. Experience with the above is a nice-to-have, but a desire to learn is a must
  • A sharp mind, a soft heart and a large funny bone
  • Own the technical and architectural direction of our enterprise data warehouse, including: data ingestion, data platform, foundational data, curated data marts and data activation
  • Partner with stakeholders to drive data needs across: analytics, machine learning, data science, and master data management
  • Provide guidance, technical expertise and reference architecture to our data teams on architecture best practices, standards, methodologies
  • Design and lead the development of high-performance data pipelines
  • Partner with cross-functional teams to define data requirements, design data models, and implement data solutions that meet business needs
  • Align our technology with the goals of the business and strategic objectives
  • Monitor data systems to ensure quality and availability while seeking to drive down costs
  • Coach, mentor and up-skill data engineers in architecture skills and thinking
  • Actively maintain and build a culture of learning, respect, transparency, and trust
  • Facilitate technical discussions across teams, organizations, and technology stacks
  • Work with engineering leads and Product Managers to define data architecture and build prototypical software stack
  • Communicate cross functionally to drive alignment across data, engineering and product
  • Align data architecture and systems with regulatory requirements, data privacy, and security standards
  • Assist in building data governance processes, policies, and procedures
  • Conduct research on emerging technologies and trends in the data & machine learning architecture space and recommend improvements to existing architecture
  • Champion engineering and operational excellence, establishing metrics and process for assessment and improvements
  • Per year
  • Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance)